Agent assisted malicious application blocking in a network environment

ABSTRACT

Embodiments are configured to receive metadata of a process intercepted on an end host when attempting to access a network. The metadata includes a hash of an application associated with the process and an endpoint reputation score of the application. Embodiments are configured to request a threat intelligence reputation score based on the hash of the application, to determine an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score, and to send a response indicating the action to be taken by the end host. Further embodiments request another threat intelligence reputation score based on another hash of a dynamic link library module loaded by the process on the end host, and the action is determined based, at least in part, on the other threat intelligence score.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation (and claims the benefit of priority under 35 U.S.C. § 120) of U.S. patent application Ser. No. 16/270,461 filed Feb. 7, 2019, and entitled “AGENT ASSISTED MALICIOUS APPLICATION BLOCKING IN A NETWORK ENVIRONMENT,” which is a continuation of U.S. patent application Ser. No. 15/399,091 filed Jan. 5, 2017, entitled “AGENT ASSISTED MALICIOUS APPLICATION BLOCKING IN A NETWORK ENVIRONMENT,” now U.S. Pat. No. 10,205,743 issued Feb. 12, 2019, which is a continuation of U.S. patent application Ser. No. 14/127,395, filed Dec. 18, 2013, entitled “AGENT ASSISTED MALICIOUS APPLICATION BLOCKING IN A NETWORK ENVIRONMENT,” now U.S. Pat. No. 9,578,052 issued Feb. 21, 2017, which is a national stage filing under 35 U.S.C. § 371 of PCT International Application No. PCT/US2013/066690, filed on Oct. 24, 2013, entitled “AGENT ASSISTED MALICIOUS APPLICATION BLOCKING IN A NETWORK ENVIRONMENT.” The disclosures of the prior Applications are considered part of and are incorporated by reference in the disclosure of this Application.

TECHNICAL FIELD

This disclosure relates in general to the field of network security, and more particularly, to agent assisted malicious application blocking in a network environment.

BACKGROUND

The field of network security has become increasingly important in today's society. The Internet has enabled interconnection of different computer networks all over the world. In particular, the Internet provides a medium for exchanging electronic communications between various systems in the same or different computer networks. While the use of the Internet and other networking infrastructures has transformed business and personal communications, it has also become a vehicle for malicious operators to gain unauthorized access to systems and networks and for intentional or inadvertent disclosure of sensitive information.

Malicious software (“malware”) that infects an end host may be able to perform any number of malicious actions, such as sending out spam or malicious emails from the end host, stealing sensitive information from a business or individual associated with the end host, propagating to other host systems, assisting with distributed denial of service attacks and/or sabotage or espionage (or other forms of cyber-warfare), for example. Although various approaches are used to detect malware traversing a network, some malware still eludes detection.

Detecting and stopping the spread of malware or malicious activities caused by malware is made even more complicated due to the continually-evolving array of tactics exploited by malicious operators. Hence, significant administrative challenges remain for protecting computers and computer networks from malware. Security professionals need to develop innovative tools to combat such tactics that allow malicious operators to exploit computers.

BRIEF DESCRIPTION OF THE DRAWINGS

To provide a more complete understanding of the present disclosure and features and advantages thereof, reference is made to the following description, taken in conjunction with the accompanying figures, wherein like reference numerals represent like parts, in which:

FIG. 1 is a simplified block diagram of a computing system for blocking malicious applications in a network environment in accordance with the present disclosure;

FIG. 2 is a simplified block diagram of a virtual desktop infrastructure that may be implemented in another embodiment of the computing system for blocking malicious applications in accordance with the present disclosure;

FIG. 3 is a simplified interaction diagram illustrating possible operations in a malicious application blocking system according to at least one embodiment;

FIG. 4 is a simplified interaction diagram illustrating further possible operations in a malicious application blocking system according to at least one embodiment;

FIG. 5 is a simplified interaction diagram illustrating yet further possible operations in a malicious application blocking system according to at least one embodiment;

FIGS. 6A-6B show a simplified flowchart illustrating potential operations associated with an end host in at least one embodiment;

FIGS. 7A-7B show a simplified flowchart illustrating potential operations associated with a security device at least one embodiment;

FIG. 8 is a block diagram of a memory coupled to an example processor according to an embodiment; and

FIG. 9 is a block diagram of an example computing system according to an embodiment.

DETAILED DESCRIPTION OF EMBODIMENTS

FIG. 1 is a simplified block diagram of a computing system 100 for blocking malicious applications in a network environment according to at least one embodiment of the present disclosure. Computing system 100 may include a protected network that includes at least one end host 130, an end host policy server 140, a network security device 150, a local threat intelligence server 170, and a network security manager 180. The protected network can be configured to communicate with other systems and networks via any suitable network such as network 110. In at least one embodiment, network 110 can be a wide area network such as the Internet. Cloud threat intelligence servers 120 may be accessible to the protected network via network 110.

With reference to particular elements, end host 130 can include an endpoint intelligence agent (EIA) 132, applications 133, dynamic link library (DLL) modules 135, at least one processor 136, and at least one memory element 138. Network security device 150 can include an endpoint intelligence server 152, a local network policy server 154, at least one processor 156, and at least one memory element 158. In at least one embodiment, a switch, router, or other suitable network element 160 may be provided in the protected network to facilitate communication between end host 130 and network 110. In this configuration, network security device 150 is out-of-band and network element 160 receives network traffic from end host 130 and sends network traffic to end host 130. Network element 160 may include a SPAN port 162 to enable copying network traffic to network security device 150. In other embodiments, network security device 150 may be configured in-line in order to receive network traffic from end host 130 without any intervening network element that enables network traffic to bypass network security device 150. Local threat intelligence server 170 can contain file reputation scores of certain applications and dynamic link libraries, and may provide such information to network security device 150 when requested. Network security manager 180 can receive metadata associated with a process of end host 130, and can provide a user interface to display information associated with the process to a user.

For purposes of illustrating certain example techniques of computing system 100 for blocking malicious applications, it is important to understand the communications that may be traversing the network environment. The following foundational information may be viewed as a basis from which the present disclosure may be properly explained.

Malicious software can disrupt a computer network and lead to unstable and/or insecure systems. As used herein, malicious software (also referred to herein as “malicious applications” or “malware”), is a broad term commonly used to describe software designed to engage in hostile and/or unwanted behavior on a computer, and generally includes any software designed to interfere with the normal operation of a computer or network and/or to gain unauthorized access to a computer or network. Once an end host is compromised, malware may subvert the end host and use it for malicious activity. In some instances, malware may be designed to steal, destroy, disclose, modify, or otherwise compromise data. Malware may also include propagation vectors that enable it to spread within an organization's network (e.g., a protected network) or across other networks or computer systems. Examples of malware can include, but are not limited to, viruses, spam, phishing scams, denial-of-service (DOS) attacks, directory harvest, botnets, spyware, adware, trojans, and worms.

It will be appreciated that the broad scope of this disclosure intends for references to ‘software’ to encompass any electronic file or object comprising instructions that can be understood and processed on a computer such as, for example, applications (e.g., executable files, object files, script files, interpreter files, etc.) and dynamic link library (DLL) modules or other modules that can be loaded and linked when preparing an application for execution. An application or DLL module is malicious if the application or DLL module is malware or if it is infected with malware (e.g., a benign application or DLL module subverted by malware). Additionally, if a process instantiated from an application loads a DLL module that is malicious, then the application may also be considered ‘malicious’.

One common approach to malware detection involves scanning applications to identify known signatures, and to obtain a file reputation score based on the signatures. A signature is a hash value that is typically expressed as a fixed string of numerical digits. A hash value can be derived by applying a cryptographic hash algorithm to an application or to one or more portions thereof. One commonly known algorithm is the MD5 message-digest algorithm, which is a cryptographic hash function that produces a hash value having a predetermined bit length (e.g., 128 bits) and is specified in “Request for Comments (RFC) 1321, MD5 Message-Digest Algorithm, R. Rivest, April 1992, Updated by RFC6151.”

A file reputation score (also referred to herein as ‘threat intelligence score’) can be a score that reflects the likelihood a particular file (i.e., an application or other module) is malicious. File reputation scores can be configured to range, for example, on a scale from benign to malicious, or good to bad. In some examples, the range could include varying degrees, such as good, poor, serious, critical, unknown, etc. In other examples, the range could include a simple use of good, bad, or unknown. File reputation scores can be obtained by querying threat intelligence servers, locally or globally (e.g., in the cloud), and providing a hash value of the application at issue. The threat intelligence servers can determine whether the hash is known (i.e., if the application represented by the hash has been evaluated and a score derived for the application). If the application is known, the threat intelligence servers can provide the corresponding score to the querying device. Threat intelligence servers may derive file reputation scores for hashes in any suitable way, including, but not limited to, collective intelligence, analysis of the particular file, and/or correlation with other threat vectors such as web, email and network threat data, etc.

In a large network with many end user hosts, security software that evaluates every network connection and that may contact local and/or cloud services for reputation information, can use significant localized resources. A network solution, however, can also utilize tremendous network resources by repeated attempts to establish network connections from an end user host. Thus, solutions are needed that minimize the use of network resources, while effectively blocking malicious applications from making network connections.

Some malware can be configured to hide or evade detection during the execution of a process that corresponds to an application with a good reputation. For instance, an application could be configured to load one or more other modules, such as dynamic link library (DLL) modules, during execution. In some configurations, modules may be loaded after a process associated with an application has already established a network session. Thus, initial evaluations of an application and its loaded modules may not be recognized as malicious based on a file reputation score. In another example, when malware is downloaded during a seemingly benign network connection, the malware could affect the application or other modules used by the application (e.g., DLLs). This may not be quickly detected by conventional security solutions. Thus, solutions are also needed to identify and block malware that has been infused in network traffic.

A system for blocking malicious applications in a network environment, as outlined in the FIGURES, can resolve these issues (and others). In computing system 100, an endpoint intelligence agent intercepts network access attempts on an end host (or on a virtual desktop infrastructure (VDI) server) and provides metadata of the application to a network security device. The network security device can query a threat intelligence server and/or cloud services, to obtain a file reputation score (also referred to herein as ‘threat intelligence reputation score’ and ‘TI reputation score’) for the application. The TI reputation score can be used to determine an action to be taken by the end host, based on one or more local network policies. The network security device can provide the TI reputation score and action information to the end host. Depending on the action information (i.e., instructions, notifications, or other indication of an action to be taken), the end host can create a rule to implement the action, such as blocking the application from making future network connections. Thus, the other hosts in the network can be protected from the malware on the end host by blocking the application at the end host. If the application has a good reputation, however, or if policies at the network security device indicate a blocking action is not appropriate, then the network traffic may be allowed. For example, the end host may simply allow a network session to continue by not performing any blocking actions.

When a network connection is allowed, additional evaluations may continue, at both the network security device and the end host, during the network session. In at least one embodiment, loaded or invoked modules, such as DLL files, of the application may be evaluated on the end host to determine whether they have been compromised by malware. If so, then the end host may assign a local score (‘endpoint reputation score’) to the application and send it to the network security device. The network security device can determine an action based on local network policy and the endpoint reputation score, and can send action information indicating the action to be taken back to the end host. Depending on the action information, the end host may then create a rule to block the application from making future network connections from the end host. In another scenario when the network traffic is allowed, the network security device may continue to monitor the network traffic for malware. If malware is detected, the network security device can correlate the network traffic with network connection information from the end host in order to identify the end host and application associated with the network traffic. The network security device can provide the end host with reputation information and action information.

When a bad TI reputation score for an application is provided to an end host, the on-going network traffic associated with the currently running process can be blocked at either the network security device, the end host, or both, depending on particular implementations. If the network security device is in-line, it can block the on-going network traffic, but if the network security device is out-of-band, then it can inform the end host to also block the on-going network traffic. Thus, embodiments of computing system 100 can monitor network traffic and block malicious applications of an established session and can prevent future network connections associated with the detected malicious application.

Turning to FIG. 1, FIG. 1 illustrates a simplified example of computing system 100 for blocking malicious applications in a network environment. For ease of illustration, a single end host 130 is shown in communication with host policy server 140, network security device 150, and possibly, network element 160. It will be apparent, however, that numerous end hosts could be configured to communicate to network 110 via network security device 150 or network element 160, and host policy server 140 could be configured to manage policies for multiple end hosts. Moreover, in at least some implementations, multiple end hosts could be virtualized with a virtualized desktop infrastructure (VDI) server communicating with network security device 150 and host policy server 140. In this scenario, the VDI server could be configured with endpoint intelligence agent 132 and could perform the intercepting and application blocking functions for multiple virtualized end hosts.

In at least one embodiment, network security device 150 could be configured in-line with end host 130. In this in-line embodiment, network security device 150 could receive network traffic from end host 130 and forward the network traffic to a local or remote destination node, for example, via networks 112 and 110. In at least one other embodiment, network security device 150 could be configured out-of-band, and network element 160 could be configured in-line with end host 130. In this out-of-band embodiment, network security device 150 could receive, from network element 160, network traffic associated with end host 130 and could forward the network traffic to a local or remote destination node, for example, via networks 114 and 110. SPAN port 162 could be configured to provide copies of data packets of the network traffic to network security device 150.

Generally, computing system 100 can be implemented in any type or topology of networks. Networks 112 (in-line embodiment), 114 (out-of-band embodiment), and 110 each represent a series of points or nodes of interconnected communication paths for receiving and transmitting packets of information that propagate through computing system 100. These networks offer a communicative interface between nodes, and may be configured as any local area network (LAN), virtual local area network (VLAN), wide area network (WAN), wireless local area network (WLAN), metropolitan area network (MAN), Intranet, Extranet, virtual private network (VPN), and any other appropriate architecture or system that facilitates communications in a network environment, or any suitable combination thereof, including wired and/or wireless communication. These networks may be inclusive of any number of wire line (e.g., Ethernet, etc.) and wireless technologies (e.g., Institute of Electrical and Electronics Engineers (IEEE) Std 802.11™-2012, published Mar. 29, 2012, IEEE Std 802.16™-2012, published Aug. 17, 2012, WiFi, WiMax, Dedicated short Range Communications (DSRC), etc.), satellite, cellular technologies (e.g., 3G/4G/5G/nG, etc.), other radio frequencies (e.g., near field communications (NFC), radio frequency identification (RFID), etc.), and/or any other networking protocols that facilitate network communications in a network environment. In at least one embodiment, networks 112 and 114 represent embodiments of a protected network, which can be configured as an internal, potentially private, network associated with an entity (e.g., business, school, government agency, organization, etc.). In at least one embodiment, network 110 represents a wide area network (e.g., the Internet) that enables access to other networks and systems by end hosts of the internal network, such as end host 130.

In computing system 100, network traffic, which is inclusive of packets, frames, signals, data, etc., can be sent and received according to any suitable communication messaging protocols. Suitable communication messaging protocols can include a multi-layered scheme such as Open Systems Interconnection (OSI) model, or any derivations or variants thereof (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), user datagram protocol/IP (UDP/IP)). A packet is a unit of data that can be routed between a source node and a destination node on a packet switched network, such as networks 112, 114, and 110. A packet includes a source network address and a destination network address. By way of example, these network addresses can be Internet Protocol (IP) addresses in a TCP/IP messaging protocol. The term ‘data’ as used herein, refers to any type of binary, numeric, voice, video, textual, or script data, or any type of source or object code, or any other suitable information in any appropriate format that may be communicated from one point to another in electronic devices and/or networks. Additionally, messages, requests, responses, and queries are forms of network traffic, and therefore, may comprise packets, frames, signals, data, etc.

Generally, ‘servers,’ hosts,′ and ‘computing devices,’ including such devices used to implement computing system 100 (e.g., 120, 130, 140, 150, 160, 170, 180), can comprise all types of apparatus, electronic computing devices, and machines operable to receive, transmit, process, store, and/or manage data and information associated with embodiments disclosed herein. These computing devices can each include one or more processors, computer-readable memory, and any suitable hardware, software, firmware, components, modules, or objects that facilitate the operations thereof. These computing devices may also include interfaces employing any suitable connection (wired or wireless) for receiving, transmitting, and/or otherwise communicating data or information in computing system 100. This may be inclusive of appropriate algorithms and communication protocols that allow for the effective exchange of data or information. Additionally, computing devices may be configured to execute any operating system (e.g., Linux, UNIX, Windows, Windows Server, etc.) to manage the hardware components therein. Further, some computing devices may include virtual machines adapted to virtualize execution of a particular operating system.

In at least one embodiment, network security device 150 is a network element that can host software applications and other programs involving network security. In some implementations, network security device 150 may also be configured to facilitate communication between an end host (e.g., end host 130) and other local or remote computing devices and networks. Network elements are a type of a computing device and can include, but are not limited to, firewalls, servers, network appliances, routers, switches, gateways, bridges, load balancers, processors, modules, or any other suitable device, component, element, or object operable to exchange information in a network environment.

End host 130 can include computing devices generally implemented as endpoint devices in a network such as, for example, personal computers, laptops, cell phones, smart phones, tablet computers, personal digital assistants, media clients, mobile internet devices, and other devices adapted to receive, send, or otherwise communicate in computing system 100. End host 130 can also include network elements or other computing devices configured to initiate network communications with other local or remote computing devices. It will be understood that there may be any number of end hosts configured in computing system 100 (e.g., in networks 112, 114).

Computing devices of computing system 100, such as end host 130 and network security device 150, may include software modules (e.g., endpoint intelligence agent 132, endpoint intelligence server 152) to achieve, or to foster, operations as outlined herein. These modules may be suitably combined or partitioned in any appropriate manner, which may be based on particular configuration and/or provisioning needs. In some embodiments, one or more of such operations may be carried out by hardware and/or firmware, implemented externally to these elements, or included in some other computing device to achieve the intended functionality. These elements may also include software (or reciprocating software) that can coordinate with other computing devices in order to achieve the operations, as outlined herein.

In at least one embodiment, endpoint intelligence server 152 of network security device 150 and endpoint intelligence agent 132 of end host 130 are configured to cooperate to identify malicious applications associated with network traffic traversing, or attempting to traverse, computing system 100. Host policy server 140 may be configured to push a monitoring port network address (e.g., Internet Protocol (IP) address) of network security device 150 to endpoint intelligence agent 132 in accordance with policy. Endpoint intelligence agent 132 can provide metadata to endpoint intelligence server 152 to enable identification of malicious applications.

Metadata provided by endpoint intelligence agent 132 can be associated with a process on end host 130 attempting to make a network connection to a destination host via network 110, for example. This attempt to make a network connection is referred to herein as a ‘network access attempt.’ An end host process is an instance of an application that is being executed on the end host. When network traffic is initiated by a process on end host 130, end host 130 is referred to as a ‘source host’. A source host can send network traffic to a destination host, which can be a node in any local or remote network (e.g., networks 112, 114, 110, etc.) accessible to the source host.

Metadata that is communicated to endpoint intelligence server 152 by endpoint intelligence agent 132 can provide visibility about end host 130, the current user of end host 130, and the application (e.g., of applications 133) and process associated with certain network traffic. Metadata can include user information, host application information, and/or host process information. User information could include one or more of a user name/identifier, a security identifier (SID), etc. Host application and process information could include one or more of application name and file path (AppPath), hash or checksum of application (MD5Hash), reputation of application (AppReputation), reputation of dynamic link library modules (DLLReputation), endpoint reputation score (MD5ConfidenceScore), threat intelligence reputation score of application (MD5GTIScore), application category, process name, parent process name, domain, a tuple (e.g., a 5 tuple) of connection information for the network access attempt, particular information about the application or its loaded modules (e.g., version information, creation day/time, modification day/time, signor information, etc.), etc.

The various metadata provides different information to network security device 150. A SID is a primary key for any object in an Active Directory (e.g., printer objects, group objects, etc.) and is unique to a domain. AppPath is the file name and path where the application is stored on end host 130. MD5Hash is a hash value of the executable application generated, for example, by an MD5 message-digest algorithm as previously discussed herein. The metadata may also include hash values of each of the other applications or modules loaded by the application, such as DLL modules.

MD5ConfidenceScore is an endpoint reputation score that can be determined by heuristic algorithms running on the end host. Heuristic algorithms can be configured to perform a heuristic analysis of an application or DLL module including, but not limited to, whether it performs virus-like activities during execution or has virus-like attributes in its code. In addition, a module such as a DLL module, may be evaluated to determine whether it performs appropriate activities for the particular application that invoked the DLL module. The endpoint reputation score can be used by network security device 150 when a TI reputation score is not available or accessible.

AppReputation and DLLReputation are scores calculated based on the quality of the application or DLL module (how good/benign or bad/malicious the application or DLL module is determined to be). These scores can be calculated on the end host and can be based on the TI reputation score/endpoint reputation score (e.g., TI reputation score previously received from security device 150 and cached in end host 130 or endpoint reputation score calculated on end host by heuristic algorithm). In addition, multiple DLLReputations may be provided if multiple DLL modules are invoked by the process.

The tuple can include connection information associated with the network access attempt. In at least one embodiment, the tuple includes source address, source port, destination address, destination port, and protocol. Source and destination addresses can be the network addresses of the source host (e.g., end host 130) and the destination host, respectively. The destination host is the host with which the process on the source host is attempting to establish a network session. In at least one embodiment, network addresses can be Internet Protocol (IP) addresses in a packet switched network. Source and destination ports can be the ports on the source and destination hosts, respectively, used by the process to attempt to establish a network session between the source host and the destination host. Protocol can be the particular protocol (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP)) used by the process to access the network. The tuple of the metadata can be used to correlate network traffic with a process to identify the end host on which the process is running and the associated application.

Some information that can be included in the metadata may not be available for certain network traffic. For example, a process may not have any loaded DLL modules, an application or DLL may be unknown and therefore may not have a reputation, application category may be unknown, etc. In another example, a TI reputation score may not be available unless the corresponding application was previously associated with a network access attempt and the TI reputation score was returned to end host 130 and stored in cache or other memory.

Endpoint intelligence agent 132 can receive action information and reputation information from endpoint intelligence server 152 to create a blocking rule for certain network traffic or to allow certain network traffic. If network security device 150 determines that a particular application has violated a local network policy, a blocking action can be prescribed by endpoint intelligence server 152 based on a hash of the particular application. Endpoint intelligence agent 132 may receive a notification from endpoint intelligence server 152 (e.g., via action information) to block the particular application from making future network connections. Endpoint intelligence agent 132 can then create and implement a rule on end host 130 to block the application. In at least one embodiment, a rule implemented to block an application can be configured to prevent the application from executing. If network security device 150 is out-of-band, then endpoint intelligence agent 132 may also receive notification (e.g., in the action information) from endpoint intelligence server 152 to block any on-going traffic of the current process associated with the hash. Although a hash can represent a particular application associated with a process on end host 130 attempting network access, in some scenarios, the hash could represent a module loaded by the process, such as a DLL module.

Endpoint intelligence agent 132 may also be configured to evaluate loaded modules (e.g., of DLL modules 135) of processes with established (and allowed) network sessions. If malware is successfully downloaded to end host 130, possibly during the established network session itself, then if the malware is executed it could potentially infect the module and compromise the network session. In at least one embodiment, this determination may be made by a heuristic analysis performed by heuristic detection algorithms, etc. If a determination is made that a DLL has been infected, then endpoint intelligence agent 132 can assign an endpoint reputation score to the module and send it to network security device 150 for evaluation and action information on how to handle the module. In some scenarios, end host 130 can determine an action to take based on the endpoint reputation score and a local host policy, from host policy server 140 for example. Local host policies may be configurable by an administrator or other authorized user. End host 130 can notify network security device 150 regarding the action taken on end host 130, along with the endpoint reputation score.

Endpoint intelligence server 152 of network security device 150 can be configured to receive metadata of a process executing on end host 130 to enable identification of malicious applications associated with the process. The metadata can include one or more hashes that are generated based on an application and possibly one or more other modules associated with the application (e.g., DLLs loaded by the process). The hashes may be evaluated based on local and/or remote threat intelligence information.

In at least one embodiment, threat intelligence information could comprise one or more whitelists, one or more blacklists, or any suitable combination thereof. In at least one embodiment, a whitelist could include hash values of applications and other modules that have been determined to be benign or safe to run, and a blacklist could include hash values of applications and other modules that have been determined to contain malware and/or to engage in malicious behavior. In at least one embodiment, threat intelligence information may include a TI reputation score associated with each hash value. The TI reputation scores can represent a degree of maliciousness or criticality of the application (or DLL module) associated with the particular hash value. For example, scores less than 4 may indicate a critical threat, scores between 5-6 may indicate a serious threat, scores between 7-9 may indicate a slight threat, and a score of 10 may indicate no threat.

When network security server 150 receives a TI reputation score for a particular application, network security device 150 can use the score to determine one or more actions to be taken based on local network policy. Local network policies may be applied to a TI reputation score to determine an action to be performed on end host 130. For example, a policy may be configured to require any application having a TI reputation score less than 4 to be blocked. Another policy may require applications having a threat intelligence score between 5-9 to be quarantined. In addition, policies may be configured to determine what action to take on applications that are unknown (e.g., not on whitelist and not on blacklist). Policies may be configurable by an administrator or other authorized user, for example, in local network policy server 154. In at least one embodiment, network security manager 180 may provide a user interface to allow authorized users to configure policies. Local network policy server 154 could be configured as part of network security device 150, or could be configured separately, in whole or in part, from network security device 150.

In at least one embodiment, network security device 150 may query local threat intelligence server 170 for threat intelligence information. The local threat intelligence information in server 170 could be received from a remote threat intelligence service, such as cloud threat intelligence servers 120. Local threat intelligence server 170 could include a copy, in whole or in part, of data from cloud threat intelligence servers 120, and may be updated periodically. Network security device 150 may also be configured to query remote threat intelligence servers (e.g., 3rd party providers of security information) for threat intelligence information. For example, network security device 150 may query cloud threat intelligence servers 120 when local threat intelligence server 170 is unable to provide threat intelligence information for a particular application. In another embodiment, at least some threat intelligence information may be cached, in whole or in part, on network security device 150. In other embodiments, network security device 150 may be configured to query any suitable combination of caches, cloud servers, local servers, or any other system or device accessible to network security device 150, based on particular needs.

Turning to FIG. 2, an alternative implementation could include a virtual desktop infrastructure (VDI) configured in computing system 100, in either the out-of-band embodiment (e.g., network 112) or the in-line embodiment (e.g., network 114). In an example VDI implementation, based on a VDI-in-a-Box configuration, one or more centralized servers, such as VDI server 200, can run a VDI manager 224 to deliver centrally-managed virtual desktops 230(1)-230(N) on multiple clients 250(1)-250(N) (e.g., hosts or other computing devices). For example, Management Server may be configured as a centralized server to manage multiple clients implemented with personalized desktops. VDI clients 250(1)-250(N) accessing the VDI infrastructure can be configured in a multi-user login system and have the network address (e.g., IP address) of VDI server 200. Each of the clients 250(1)-250(N) may authenticate to VDI server 200 and initiate network communications via VDI server 200. In one example implementation, each client can be configured to access only certain services (e.g., HyperText Transfer Protocol (HTTPS), File Transfer Protocol (FTP), etc.), such that at least some of the clients are capable of accessing different services.

VDI server 200 can be configured with a hardware layer 210 and a hypervisor 212 to host multiple virtual desktops 230(1)-230(N). Hardware layer 210 can be configured with suitable processing and memory elements. The virtual desktops can have their own operating systems 232(1)-232(N), applications 233(1)-233(N), and DLL modules 235(1)-235(N). Hypervisor 212 can run virtual desktops 230(1)-230(N) as guest machines and can manage the execution of the guest operating systems 212(1)-212(N).

An endpoint intelligence agent 222 can also be configured on VDI server 200, and can perform the same or similar functionality as described with reference to endpoint intelligence agent 132 of end host 130. In the embodiment of FIG. 2, however, endpoint intelligence agent 222 may be configured to provide endpoint intelligence functions for each of the virtual desktops 230(1)-230(N) on VDI server 200. When a network access attempt is made by one of the VDI clients, endpoint intelligence agent 222 of VDI server 200 can provide metadata and application information from the corresponding virtual desktop to an endpoint intelligence server of a network security device, such as endpoint intelligence server 152 of network security device 150 shown and described in FIG. 1. When the network security device determines an application should be blocked, the application's reputation score and action information can be sent to endpoint intelligence agent 222, which can block network traffic associated with the application at VDI server 200.

Although FIG. 2 illustrates a VDI implementation based on a VDI-in-a-Box configuration, embodiments described herein may also be applied to traditional VDI configurations. In a traditional VDI configuration, Management Servers may be configured as a ‘middleman’ with multiple virtual desktops running behind the Management Servers. Endpoint intelligence agent 222 and host policy server 240 are still configured in a VDI server in a traditional VDI implementation.

Turning to FIG. 3, a simplified interaction diagram illustrates one scenario of possible interactions that may occur in computing system 100 between end host 130, network security device 150, and local threat intelligence server 170, according to at least one embodiment. The scenario of FIG. 3 illustrates potential interactions and activities that may occur when an application on end host 130 is blocked based on a bad TI reputation score. In at least one embodiment, endpoint intelligent agent 132 could perform one or more interactions and activities associated with end host 130, and endpoint intelligent server 152 could perform one or more interactions and activities associated with network security device 150. The example of FIG. 3 is merely an example of potential interactions, and does not limit the scope of the claims. For example, number of modules may vary, number of components may vary, specific interactions may vary, order of interactions may vary, etc.

Initially, a process corresponding to an application on end host 130 may trigger network activity. At 302, end host 130 may intercept an attempt to access a network. A network access attempt can be an attempt by a process, which is an instance of an executing application, to make a network connection to a destination node. The destination node could be another host (or other network device capable of establishing a network session) within a local area network, or in another network. Examples of a network access attempt could include, but are not limited to, an attempt to send an email message to a destination node, an attempt to connect to a destination node to download a file, an attempt to access remote nodes (e.g., web servers) via the Internet by opening a web browser, etc.

At 304, end host 130 sends, to network security device 150, metadata associated with the process and network access attempt on end host 130. The metadata includes a tuple of connection information, which includes the network address (e.g., IP address) and port of end host 130, the network address (e.g., IP address) and port of the destination node, and the protocol used (e.g., TCP/IP). The metadata also includes a hash of the application associated with the process, and hashes of dynamic link library modules, if any, loaded by the process.

In at least one embodiment, the metadata could further include one or more of a security identifier (SID), user name/identifier, domain, application name and file path (AppPath), endpoint application reputation (AppReputation), dynamic link library (DLL) reputation (DLLReputation), endpoint reputation score (MD5ConfidenceScore), application category, process name, parent process name, TI reputation score (MD5GTIScore), particular information about the application or its loaded modules, etc. Endpoint reputation score may be included if end host 130 determines the score based on heuristic algorithms, before the metadata is sent to network security device 150. The TI reputation score may be provided in the metadata if the application was previously evaluated by network security device 150 and its TI reputation score was locally cached by end host 130, or is otherwise accessible to end host 130.

At some point, end host 130 may release the connection and initiate the network session with the desired destination node. The session may be initiated to avoid session timeout on end host 130. While the connection is being held, however, end host 130 may attempt to determine an endpoint reputation score to include in the metadata. In at least one embodiment, the endpoint reputation score may be determined to enable end host 130 to proactively create rules for the application on end host 130, before the network session is initiated, based on configured policies, for example, from host policy server 140. The endpoint reputation score may be based on heuristics algorithms that evaluate the application and any DLL modules that may be loaded in the process. For example, DLL modules may be evaluated to determine whether they are expected modules for the particular application being executed. A rule can be created on end host 130 based on the endpoint reputation score and one or more local host policies, for example, from local host policy server 140. Even if a rule is proactively created on end host 130, the metadata can still be sent to network security device 150 at 304, for evaluation. Once the metadata is sent to network security device 150, as shown at 304, the connection may be released.

At 306, network security device 150 queries local threat intelligence server 170 for a TI reputation score of the application. Network security device 150 may also query local threat intelligence server 170 for TI reputation scores of DLL modules, if any. Network security device 150 can send the application hash, and hashes of DLL modules, if any, to threat intelligence server 170 to obtain TI reputation scores. At 308, threat intelligence server 170 can reply back to network security device 150 with a TI reputation score based on the hash of the application, and TI reputation scores based on the hashes of the DLL modules, if any. Depending on the particular implementation, queries and responses for the TI reputation scores of an application and one or more DLL modules may be combined or separate. If local threat intelligence server 170 is unable to provide a TI reputation score (e.g., hash is unknown or server is not available), then in at least one embodiment, network security device 150 may query another source, such as cloud threat intelligence servers 120.

At 310, network security device 150 may use the reputation score (or scores) to determine an action to be taken based on local network policy, for example, from local network policy server 154. The policy may be identified based on the hash of the particular application (or DLL module) corresponding to the TI reputation score or combination of scores being evaluated. A policy may set a particular threshold limit for the TI reputation score of an application, one or more DLL modules, or any desired combination thereof. The action can be determined based on the particular threshold limit and the actual TI reputation score being evaluated. For example, the policy may set a threshold limit of 4, and any application or DLL module having a score less than 4 is to be blocked. In another example, a policy may require blocking an application if two or more of its DLL modules are less than a particular threshold limit, or possibly blocking only the DLL modules.

At 312, network security device 150 may send a response to end host 130. The response may include the TI reputation score (or scores), corresponding hash (or hashes), and action information that indicates the action to be taken including, but not limited to, blocking the application, blocking one or more DLL modules, allowing the application, quarantining the application, quarantining one or more DLL modules, blocking on-going traffic, etc. If a policy violation has occurred and the action to be taken is a blocking action, then network security device 150 can notify end host 130, for example via the action information, to create a rule to block the application from making future network connections, based on the application hash, or to block one or more DLL modules based on their hashes. End host 130 can create a rule to block the particular application or DLL modules in accordance with the action information from network security device 150.

If network security device 150 is an out-of-band device, then network security device 150 can also notify end host 130, for example via the action information, to block the on-going traffic based on the tuple of connection information and the application hash. If network security device 150 is an in-line device, however, it may not necessarily notify end host 130 to drop on-going traffic, because network security device 150 can drop the on-going traffic itself based on the tuple of connection information.

Network security device 150 can also raise an alert to notify a network administrator about which application and/or DLL modules on which end host has initiated a particular network connection. The TI reputation scores and/or the action information sent to end host 130, along with other desired metadata, may be provided in the alert. This information can help the administrator pinpoint the infected application, process, and/or DLL module immediately.

Turning to FIG. 4, a simplified interaction diagram illustrates one scenario of possible communications that may occur in computing system 100 between end host 130, network security device 150, and threat intelligence server 170, according to at least one embodiment. The scenario of FIG. 4 illustrates potential interactions and activities that may occur when an application on end host 130 is blocked based on a bad endpoint reputation score. In at least one embodiment, endpoint intelligent agent 132 could perform one or more interactions and activities associated with end host 130, and endpoint intelligent server 152 could perform one or more interactions and activities associated with network security device 150. The example of FIG. 4 is merely an example of potential interactions, and does not limit the scope of the claims. For example, number of modules may vary, number of components may vary, specific interactions may vary, order of interactions may vary, etc.

The interactions and activities indicated at 402, 404, 406, 408, and 410 of FIG. 4, are generally the same as the interactions and activities of FIG. 3, shown and described with reference to 302, 304, 306, 308, and 310. Accordingly, the interactions and activities indicated at 402, 404, 406, 408, and 410 of FIG. 4 can be understood with reference to the description and illustrations of interactions and activities indicated at 302, 304, 306, 308, and 310 of FIG. 3.

At 412, network security device 150 may send a response to end host 130. The response can include the TI reputation score (or scores), corresponding hash (or hashes), and action information indicating the action to be taken. In the example scenario of FIG. 4, the application and any DLL modules do not violate any policies. Accordingly, the action information sent to end host 130 at 412, indicates the action to be taken is to allow a network session established by a process associated with the application and DLL modules, if any, to continue.

At 414, end host 130 may categorize the application as ‘malicious’, or any other suitable categorization that indicates the application has become a threat and may be, or is, infected with malware. The categorization can be based on one or more DLL modules that are determined by end host 130 to be infected (i.e., contain malware). For example, after network security device 150 notifies end host 130 that the application is allowed (i.e., at 412), network traffic can continue to flow in the established network session. A DLL module loaded by the process could potentially become a threat if malware is successfully downloaded and executed on end host 130 after the network traffic is approved at 412. In this case, end host 130 may use one or more heuristics algorithms to determine whether a particular DLL module has been infected.

In another scenario, when network security device 150 is unable to obtain a threat intelligence reputation scores (e.g., threat intelligence servers are down) and an endpoint reputation score was not sent with the metadata initially at 404, then action information may indicate that the TI reputation score is unknown. In this case, end host 130 may use one or more heuristic algorithms to determine whether one or more DLL modules are appropriate and/or required for the particular application associated with the network traffic.

If end host 130 determines that a DLL module has been infected or is otherwise a threat, then end host 130 can assign an endpoint reputation score to the application indicating the application has been categorized as ‘malicious’ based on one or more DLL modules that were invoked by the process. In at least one embodiment, the endpoint reputation score could be a numerical value that represents a degree of maliciousness or criticality of the application and/or DLL modules according to the heuristics algorithms. At 416, end host 130 may send the endpoint reputation score, along with hashes of the application and DLL modules, to network security device 150.

At 418, network security device 150 can use the endpoint reputation score to determine an action to be taken based on local network policy, for example, from local network policy server 154. A policy may set a particular threshold limit for the endpoint reputation score of an application. The action can be determined based on the particular threshold limit and the actual endpoint reputation score being evaluated.

At 420, network security device 150 may send a response to end host 130. The response can include the hash (or hashes) of the application and/or DLL modules, and new action information that indicates the action to be taken. The action can include, but is not limited to, blocking the application, blocking one or more DLL modules, allowing the application, quarantining the application, quarantining one or more DLL modules, blocking on-going traffic, etc. If a policy violation has occurred based on the endpoint reputation score and the action to be taken is a blocking action, then network security device 150 can notify end host 130, for example via the action information, to create a rule to block the application from making future network connections, based on the application hash, or to block one or more DLL modules based on their hashes. End host 130 can create a rule to block the particular application or DLL modules in accordance with the action information from network security device 150.

If network security device 150 is an out-of-band device, then network security device 150 can also notify end host 130, for example via the new action information, to block the on-going traffic based on the tuple of connection information and the application hash. If network security device 150 is an in-line device, however, it may not necessarily notify end host 130 to drop on-going traffic, because network security device 150 can drop the on-going traffic itself based on the tuple of connection information

Network security device 150 can also raise an alert to notify a network administrator about which application and/or DLL module on which end host has initiated the particular network connection. The endpoint reputation score and/or the new action information sent to end host 130, along with other desired metadata, may be provided in the alert. This information can help the administrator pinpoint the infected application, process, and/or DLL module immediately.

Turning to FIG. 5, a simplified interaction diagram illustrates one scenario of possible communications that may occur in computing system 100 between end host 130, network security device 150, and threat intelligence server 170, according to at least one embodiment. The scenario of FIG. 5 illustrates potential interactions and activities that may occur when an application on end host 130 is blocked when it is attempting to download malware onto end host 130. In at least one embodiment, endpoint intelligent agent 132 could perform one or more interactions and activities associated with end host 130, and endpoint intelligent server 152 could perform one or more interactions and activities associated with network security device 150. The example of FIG. 5 is merely an example of potential interactions, and does not limit the scope of the claims. For example, number of modules may vary, number of components may vary, specific interactions may vary, order of interactions may vary, etc.

The interactions and activities indicated at 502, 504, 506, 508, and 510 of FIG. 5, are generally the same as the interactions and activities of FIG. 3, shown and described with reference to 302, 304, 306, 308, and 310. Accordingly, the interactions and activities indicated at 502, 504, 506, 508, and 510 of FIG. 5 can be understood with reference to the description and illustrations of interactions and activities indicated at 302, 304, 306, 308, and 310 of FIG. 3.

At 512, network security device 150 may send a response to end host 130. The response can include the TI reputation score (or scores), corresponding hash (or hashes), and action information indicating the action to be taken. In the example scenario of FIG. 5, the application and any DLL modules do not violate any policies. Accordingly, the action information sent to end host 130 at 512, indicates the action to be taken is to allow a network session established by a process associated with the application and DLL modules, if any, to continue.

During the network session, network device 150 can correlate the tuple of connection information from the metadata received from end host 130, to network traffic it receives. This enables network device 150 to identify the end host and application associated with the network traffic. Network device 150 can also be configured to perform any malware detection functions (e.g., virus scanning, intrusion protection techniques, etc.) on the network traffic. Accordingly, at 514, network device 150 can detect malware in network traffic of the on-going session. The network traffic can be correlated with the tuple of connection information, enabling identification of end host 130 and the particular application associated with the network traffic.

At 516, network security device 150 can determine an action to be taken based on the malware detected and local network policy, for example, from local network policy server 154. A policy may set particular actions to be taken depending upon what type of malware detection occurred.

At 518, network security device 150 may send a response to end host 130. The response can include the hash (or hashes) of the application and/or DLL modules, if any, and new action information that indicates the action to be taken. If a policy violation has occurred based on the malware detected by network security device 150 and the action to be taken is a blocking action, then network security device 150 can notify end host 130, for example via the action information, to create a rule to block the application from making future network connections, based on the application hash, or to block one or more DLL modules based on their hashes. End host 130 can create a rule to block the particular application or DLL modules in accordance with the action information from network security device 150.

If network security device 150 is an out-of-band device, then network security device 150 can also notify end host 130, for example via the new action information, to block the on-going traffic based on the tuple of connection information and the application hash. If network security device 150 is an in-line device, however, it may not necessarily notify end host 130 to drop on-going traffic, because network security device 150 can drop the on-going traffic itself based on the tuple of connection information. Network security device 150 can also raise an alert to notify a network administrator about the detected malware and/or the new action information sent to end host 130.

FIGS. 6A-6B show a simplified flowchart of a flow 600 illustrating activities associated with blocking malicious applications on an end host in computing system 100 according to an embodiment. A set of operations may correspond to the activities of FIGS. 6A-6B. In an embodiment, endpoint intelligence agent 132 of end host 130 may perform at least some of the operations.

Initially, a process corresponding to an application (e.g., of applications 133) on end host 130 may trigger network traffic, for example, by initiating a web browser. At 602, end host 130 may intercept the attempt to access a network (e.g., an attempt to send an email message to a destination node, an attempt to connect to a destination node to download a file, an attempt to access remote nodes (e.g., web servers) via the Internet by opening a web browser, etc.). The connection may be held for a period of time that does not cause the session to time out.

At 604, while the connection is being held, end host 130 may attempt to determine an endpoint reputation score of the application. End host 130 can perform one or more heuristic algorithms to determine an appropriate endpoint reputation score. In at least one embodiment, a heuristic algorithm can be used to determine whether one or more DLL modules are appropriate and/or required for the particular application associated with the network traffic. In particular, it can be determined whether the DLL modules being invoked are related to other applications or to system DLL modules. For example, use of operating system DLL modules may indicate the application is trying to make unauthorized modifications or trying to communicate with other devices via a network connection.

If an endpoint reputation score is successfully calculated, then locally configured policies may be applied if appropriate. For example, for certain endpoint reputation scores (e.g., indicating a certain degree of maliciousness), a local host policy may be configured (e.g., in host policy server 140) to provide for blocking the current network access request and for blocking the application from making any future network connections. The local host policy could also, or alternatively, block one or more DLL modules associated with the application. The local host policy application may be especially advantageous when network security device 150 is inaccessible or otherwise unreachable by end host 130.

At 606, end host 130 sends, to network security device 150, metadata associated with the process and network access attempt on end host 130, as previously described herein. The metadata includes a tuple of connection information, a hash of the application associated with the process, and hashes of dynamic link library modules, if any, loaded by the process. The metadata could further include one or more of a security identifier (SID), user name/identifier, domain, application name and file path (AppPath), endpoint application reputation (AppReputation), dynamic link library (DLL) reputation (DLLReputation), application category, process name, parent process name, etc. The endpoint reputation score (MD5ConfidenceScore) may also be included in the metadata if it was successfully calculated at 604. In addition, if the endpoint reputation score was successfully calculated and resulted in an action being taken (e.g., blocking or quarantining the application and/or DLL module(s)) according to local host policy, then the particular action that was taken may also be reported to network security device 150.

If a TI reputation score for the application was determined by network security device 150 during a previous network access attempt, then end host 130 may have the previously received the TI reputation score, which may be cached or otherwise accessible to end host 130. If a predetermined time period for caching the TI reputation score has not expired, then end host 130 may add the cached TI reputation score to the metadata to send to network security device 150.

If the predetermined time period has expired, however, then the cached TI reputation score may not be sent to network security device 150. In this case, at 608, end host 130 may request a new TI reputation score for the application (and TI scores for any associated DLL modules) from network security device 150. In at least one embodiment, this request may be integrated with sending the metadata to network security device 150. For example, network security device 150 may be configured to obtain a new TI reputation score if none is received in the metadata.

At 610, end host 130 may release the connection and initiate a network session with the desired destination node. The session may be initiated to avoid session timeout on end host 130. At 612, end host 130 receives a TI reputation score and hash of the application. End host 130 can also receive TI reputation scores and hashes of DLL modules, if any. At 614, end host 130 determines the action to take indicated by the received action information. End host 130 may also cache TI reputation scores of the application and DLL modules, if any, and restart a timer used to evaluate the predetermined time period allowed for caching TI reputation scores.

If the action to be taken is an allow action, as indicated at 616, then end host 103 allows the established network session to continue, as indicated at 618. If the network session ends without any malware being detected, as indicated at 620, then flow 600 ends.

During the network session, however, malware may be detected in at least two different scenarios, as indicated at 620. First, malware may be detected, for example, in the on-going network traffic of the network session that is received at network security device 150. If malware is detected at network security device 150, then at 622, end host 130 receives a response including new action information and a hash of the application (and possibly hashes of DLL modules, if any) from network security device 150.

In a second scenario, one or more DLL modules loaded by the executing process may be determined to be malicious. End host 130 may use one or more heuristic algorithms to determine whether a particular DLL module is malicious. For example, the heuristic algorithms could evaluate whether the DLL module has been infected with malware or whether the DLL module is appropriate and/or required for the particular application associated with the network session. If end host 130 determines that a DLL module is malicious, then at 624, end host 130 can categorize the application as malicious and assign an endpoint reputation score to the application based on the malicious DLL module.

In at least one embodiment, when an endpoint reputation score has been assigned to an application on end host 130, a local host policy may be configured (e.g., in host policy server 140) to provide for blocking on-going network traffic of the network session and/or blocking future network connections by the application. Such actions may be determined based on a comparison of a threshold limit of the local host policy to the endpoint reputation score. Local host policies may be especially advantageous when network security device 150 is inaccessible or otherwise unreachable by end host 130 and a TI reputation score is not received in the response at 612.

At 626, end host 130 can send the endpoint reputation score and the hash of the application to network security device 150. In addition, if the endpoint reputation score resulted in an action being taken (e.g., blocking or quarantining the application or DLL module(s)) on end host 130 according to local host policy, then the particular action that was taken may also be reported to network security device 150. At 628, end host 130 receives a response including new action information that indicates the action to be taken and the hash (or hashes) of the application or DLL modules to which the action applies. The action to be taken may be determined by network security device 150 based on the endpoint reputation score, local network policy, and possibly whether action has already been taken on the end host based on its local host policy.

Once end host 130 receives new action information at 622 or 628, or if the action indicated in action information previously received at 612 is not an allow action (as indicated at 616), flow may pass to 630. At 630, end host 130 may receive notification to block on-going traffic of the network session if network security device 150 is out-of-band. This notification may be received, for example, from new action information (e.g., 622, 628) or from first action information (e.g., 612) in the response from network security device 150. In other embodiments, this notification may be sent separately from the response. At 632, end host 130 blocks on-going traffic of the network session, if the notification to block on-going traffic was received.

At 634, end host 130 may create a rule based on the particular action information and hash (or hashes) received in the most recent response from network security device 150. For example, a rule may be created to block the application or one or more DLL modules from making future network connections from end host 130 if the action information indicates a blocking action. In at least one embodiment, a rule to block an application or DLL module can be configured to prevent the application or DLL module, based on its hash, from executing. In another example, a rule may be created to quarantine the application or DLL module if the action information indicates a quarantining action. In at least one embodiment, a rule to quarantine an application or DLL module can be configured to allow the application or DLL module, based on a received hash, to execute, but to prevent the application or DLL module from establishing a network session. In addition, these rules may be created for multiple DLL modules in some instances, when multiple hashes are received with action information indicating a the action is to be taken on the multiple DLL modules. Furthermore, when an application is blocked, its associated DLL modules are also prevented from executing with the application. When an application is quarantined, its associated DLL modules are also quarantined when loaded by a process invoked from the application. In yet another embodiment, the local network policy could be configured to allow an application even if a policy was violated (e.g., bad TI reputation score, bad endpoint reputation score, malware detected). In these scenarios, the application is not blocked or quarantined and is allowed to make future network connections, assuming the policy doesn't change.

FIGS. 7A-7B show a simplified flowchart of a flow 700 illustrating activities associated with blocking malicious applications on an end host in computing system 100 according to an embodiment. A set of operations may correspond to the activities of FIGS. 7A-7B. In an embodiment, endpoint intelligence server 152 of network security device 150 may perform at least some of the operations.

At 702, network security device 150 receives metadata associated with a process that initiated a network access attempt on end host 130. The process is an instance of an executing application (e.g., of applications 133) on end host 130. The metadata can include information related to the network access attempt, such as a tuple of connection information. The metadata can also include information related to the corresponding application such as a hash of the application, and hashes of dynamic link library modules, if any, loaded by the process. The metadata could further include one or more of a security identifier (SID), user name/identifier, domain, application name and file path (AppPath), endpoint application reputation (AppReputation), dynamic link library (DLL) reputation (DLLReputation), application category, process name, parent process name, etc. The endpoint reputation score (MD5ConfidenceScore) may also be included in the metadata if it was successfully calculated by end host 130.

At 704, a determination is made as to whether a TI reputation score was requested by end host 130. TI reputation scores may be requested for an application and its DLL modules when any of the TI reputation scores have not previously been determined by network security device 150 for end host 130. TI reputation scores may also be requested when a predetermined time period for caching the TI reputation scores has expired. In at least one embodiment, the TI reputation scores can be requested by not including them in the metadata sent to network security device 150.

If the TI reputation scores are not requested by end host 130, then at 712, the TI scores can be retrieved from the metadata. If the TI reputation scores are requested, however, then at 706, network security device 150 queries local threat intelligence server 170 for a TI reputation score of the application, based on a hash of the application. Network security device 150 may also query local threat intelligence server 170 for TI reputation scores of DLL modules, if any, based on the hashes of the DLL modules. Depending on the particular implementation, queries and responses for the TI reputation scores of an application and one or more DLL modules may be combined or separate. If local threat intelligence server 170 is unable to provide a TI reputation score (e.g., hash is unknown or server is not available), then in at least one embodiment, network security device 150 or threat intelligence server 170 may query another source, such as cloud threat intelligence servers 120.

If it is determined at 708, that the TI reputation score or scores are not received from local threat intelligence server 170 (or from any other source), then at 710, endpoint reputation score can be retrieved from the metadata, if available. After one or more TI reputation scores or an endpoint reputation score is obtained, then at 714, network security device 150 may use the particular reputation score (or scores) to determine an action to be taken based on local network policy. The policy may be identified, for example in local network policy server 154, based on the hash of the application (or DLL module) corresponding to the particular reputation score or combination of scores being evaluated. For evaluations of TI reputation scores, a policy may set a particular threshold limit for the TI reputation score of an application, for each DLL module, or any desired combination thereof. For evaluations of an endpoint reputation score, a policy may set a particular threshold limit for the endpoint reputation score. The action can be determined based on the particular threshold limit and the actual TI reputation score or endpoint reputation score being evaluated. For example, a blocking action may be selected for an application when a TI reputation score (or endpoint reputation score) represents at least a certain degree of maliciousness set by a policy as the threshold limit for the application. In another example, an allow action may be selected when the TI reputation score (or endpoint reputation score) does not represent at least the certain degree of maliciousness set by the policy as the threshold limit for the application.

In at least one embodiment, administrator whitelist or blacklist classifications of a particular application or DLL module can override a TI reputation score or endpoint reputation score. For example, a check can be done as to whether the hash of an application or DLL module is on an administrator whitelist or a blacklist. If the hash of the application or DLL module is found on an administrator whitelist, then the particular application or DLL module may be classified (e.g., as white, benign, good, safe, etc.) to indicate it is known to be free of malware. In this instance, the whitelisted application or DLL module can be allowed to run irrespective of its reputation scores. If a hash of the application or DLL module is found on an administrator blacklist, however, then the application or DLL module may be classified (e.g., as black, bad, malicious, etc.) to indicate it is known malware. In this instance, the blacklisted application or DLL module can be blocked irrespective of its reputation scores. Additionally, if a DLL module is classified as malicious based on the administrator blacklist, then its associated application may also be classified as malicious in at least some embodiments. The action information can be sent to end host 130 and flow can pass to 718.

At 716, network security device 150 may send a response to end host 130. The response can include the TI reputation score (or scores) or the endpoint reputation score, the corresponding hash (or hashes), and action information that indicates what action is to be taken including, but not limited to, blocking the application, blocking one or more DLL modules, allowing the application, quarantining the application, quarantining one or more DLL modules, etc. The action information could also indicate blocking on-going traffic of the network session.

If a policy violation has occurred, then the particular action information communicated from network security device 150 to end host 130 may depend upon whether network security device 150 is in-line or out-of-band. If network security device 150 is an out-of-band device and a policy violation has occurred, then network security device 150 can notify end host 130, for example via the action information, to block the on-going traffic based on the tuple of connection information and the application hash. When network security device 150 is an in-line device, however, it may not necessarily notify end host 130 to drop on-going traffic, because network security device 150 can drop the on-going traffic based on the tuple of connection information received in the metadata from end host 130. Regardless of an in-line or out-of-band implementation, if a policy violation has occurred, network security device 150 can also notify end host 130, for example via the action information, to create a rule to block the application from making future network connections, based on the application hash, or to block one or more DLL modules based on their hashes. In some scenarios, certain policy violations could require a quarantining action to be taken.

If the action to be taken is an allow action, as indicated at 718, then the network session established by the process may be allowed to continue. On-going network traffic of the network session may continue to be received by network security device 150, until the session terminates. If the network session ends without any malware being detected, as indicated at 720, then flow 600 ends.

During the network session, however, malware may be detected in at least two different scenarios, as indicated at 720. First, malware may be detected, for example, in the on-going network traffic of the network session, which is received at network security device 150. Network security device 150 can be configured to perform any malware detection functions (e.g., virus scanning, intrusion protection techniques, etc.) on network traffic it receives. If network security device 150 detects malware in network traffic that is associated with the application on end host 130, then at 722, the network traffic can be correlated with the tuple of connection information, enabling identification of end host 130 and the particular application and process associated with the network traffic.

At 724, network security device 150 can determine an action to be taken based on the malware detected, local network policy, and possibly the hash of the application. The policies may be provided, for example, from local network policy server 154. A policy may specify particular actions to be taken depending upon what type of malware detection occurred and potentially, upon what is desired for the particular application affected. At 730, network security device 150 may send a response to end host 130. The response can include the hash (or hashes) and new action information that indicates the action to be taken including, but not limited to, blocking the application, allowing the application, quarantining the application, etc. In addition, the action to be taken could include blocking on-going traffic, for example, if network security device 150 is out-of-band.

In a second scenario of malware detection that could occur during the allowed network session, one or more DLL modules loaded by the process may be determined to be a threat by end host 130. In this case, network security device 150 receives at 726, an endpoint reputation score for the application. At 728, network security device 150 can use the endpoint reputation score to determine an action to be taken based on local network policy. A policy may set a particular threshold limit (e.g., indicating a certain degree of maliciousness that requires blocking) for the endpoint reputation score of an application. The action can be determined based on the particular threshold limit and the actual endpoint reputation score being evaluated.

At 730, network security device 150 may send a response to end host 130 The response can include the hash (or hashes) and new action information that indicates the action to be taken including, but not limited to, blocking the application, blocking one or more DLL modules, allowing the application, quarantining the application, quarantining one or more DLL modules, etc. In addition, the action to be taken could include blocking on-going traffic, for example, if network security device 150 is out-of-band.

Once new action information has been sent to the end host at 730, or if the action indicated in the action information previously sent is not an allow action (as indicated at 718), flow may pass to 732. At 732, if network security device 150 is in-line, then it can block on-going traffic associated with the application, when the application is not allowed (e.g., blocked, quarantined).

At 734, network security device 150 can raise an alert to notify a network administrator about which application and/or DLL modules on which end host are associated with a policy violation. The TI reputation scores, the endpoint reputation score, and/or the action information sent to end host 130 can be provided to a network administrator in the alert. The alert may also include other metadata information (e.g., file name and path, application reputation, DLL module reputation, user name, SID, etc.) that enables the administrator to identify the particular host, user, and/or application (and DLL modules) at issue. Typically, an alert is raised when a policy violation has occurred (e.g., a threshold limit of a TI reputation score or endpoint reputation score is not met, etc.). However, it will be apparent that alerts could be raised based on any determinations (e.g., TI reputation scores, actions to be taken, etc.) by network security device 150. Alerts can provide important information regarding particular hosts and applications that enable a network administrator to quickly identify a process, application, DLL modules, and end host and to take certain targeted actions, if desired.

FIGS. 8-9 are block diagrams of exemplary computer architectures that may be used in accordance with embodiments disclosed herein. Other computer architecture designs known in the art for processors, mobile devices, computing devices, and network elements may also be used. Generally, suitable computer architectures for embodiments disclosed herein can include, but are not limited to, configurations illustrated in FIGS. 8-9.

FIG. 8 is an example illustration of a processor according to an embodiment.

Processor 800 is one example of processors 136 and 156 of end host 130 and network security device 150, respectively. Processor 800 is also one example of one or more processors in hardware layer 210 of VDI server 200.

Processor 800 may be any type of processor, such as a microprocessor, an embedded processor, a digital signal processor (DSP), a network processor, a multi-core processor, a single core processor, or other device to execute code. Although only one processor 800 is illustrated in FIG. 8, a processing element may alternatively include more than one of processor 800 illustrated in FIG. 8. Processor 800 may be a single-threaded core or, for at least one embodiment, the processor 800 may be multi-threaded in that it may include more than one hardware thread context (or “logical processor”) per core.

FIG. 8 also illustrates a memory 802 coupled to processor 800 in accordance with an embodiment. Memory 802 is one example of memory elements 138 and 158 of end host 130 and network security device 150, respectively. Memory 802 is also one example of one or more memory elements in hardware layer 210 of VDI server 200. Memory 802 may be any of a wide variety of memories (including various layers of memory hierarchy) as are known or otherwise available to those of skill in the art. Such memory elements can include, but are not limited to, random access memory (RAM), read only memory (ROM), logic blocks of a field programmable gate array (FPGA), erasable programmable read only memory (EPROM), and electrically erasable programmable ROM (EEPROM).

Processor 800 can execute any type of instructions associated with the malicious application blocking operations detailed herein. Generally, processor 800 can transform an element or an article (e.g., data) from one state or thing to another state or thing.

Code 804, which may be one or more instructions to be executed by processor 800, may be stored in memory 802. Code 804 can include instructions of various modules (e.g., endpoint intelligence agent 132, endpoint intelligence server 152) that may be stored in software, hardware, firmware, or any suitable combination thereof, or in any other internal or external component, device, element, or object where appropriate and based on particular needs. In one example, processor 800 can follow a program sequence of instructions indicated by code 804. Each instruction enters a front-end logic 806 and is processed by one or more decoders 808. The decoder may generate, as its output, a micro operation such as a fixed width micro operation in a predefined format, or may generate other instructions, microinstructions, or control signals that reflect the original code instruction. Front-end logic 806 also includes register renaming logic 810 and scheduling logic 812, which generally allocate resources and queue the operation corresponding to the instruction for execution.

Processor 800 can also include execution logic 814 having a set of execution units 816-1 through 816-M. Some embodiments may include a number of execution units dedicated to specific functions or sets of functions. Other embodiments may include only one execution unit or one execution unit that can perform a particular function. Execution logic 814 performs the operations specified by code instructions.

After completion of execution of the operations specified by the code instructions, back-end logic 818 can retire the instructions of code 804. In one embodiment, processor 800 allows out of order execution but requires in order retirement of instructions. Retirement logic 820 may take a variety of known forms (e.g., re-order buffers or the like). In this manner, processor 800 is transformed during execution of code 804, at least in terms of the output generated by the decoder, hardware registers and tables utilized by register renaming logic 810, and any registers (not shown) modified by execution logic 814.

Although not shown in FIG. 8, a processing element may include other elements on a chip with processor 800. For example, a processing element may include memory control logic along with processor 800. The processing element may include I/O control logic and/or may include I/O control logic integrated with memory control logic. The processing element may also include one or more caches. In some embodiments, non-volatile memory (such as flash memory or fuses) may also be included on the chip with processor 800.

FIG. 9 illustrates a computing device 900 that is arranged in a point-to-point (PtP) configuration according to an embodiment. In particular, FIG. 9 shows a system where processing elements, memory, and input/output devices are interconnected by a number of point-to-point interfaces. Generally, one or more of the computing devices (e.g., network security device 150, end host 130, VDI server 200, etc.) of computing system 100 may be configured in the same or similar manner as computing device 900.

Processing elements 970 and 980 may also each include integrated memory controller logic (MC) 972 and 982 to communicate with memory elements 932 and 934. In alternative embodiments, memory controller logic 972 and 982 may be discrete logic separate from processing elements 970 and 980. Memory elements 932 and/or 934 may store various data to be used by processing elements 970 and 980 in achieving operations associated with malicious application blocking operations, as outlined herein.

As illustrated in FIG. 9, computing device 900 may include several processing elements, of which only two processing elements 970 and 980 are shown for clarity. While only two processing elements 970 and 980 are shown, it is to be understood that an embodiment of system 900 may also include only one such processing element. Processing elements 970 and 980 may each include a processor core 974 a and 984 a to execute multiple threads of a program. Processing elements 970 and 980 may also each include integrated memory controller logic (MC) 972 and 982 to communicate with memory elements 932 and 934. The memory elements 932 and/or 934 may store various data. In alternative embodiments, memory controller logic 972 and 982 may be discrete logic separate from processing elements 970 and 980.

Processing elements 970 and 980 may be any type of a processing element (also referred to herein as ‘processor’). For example, processing elements 970 and 980 could include processors configured such as those discussed with reference to processor 800 of FIG. 8, and processors 136 and 156 of FIG. 1. Processing elements 970 and 980 may exchange data via a point-to-point (PtP) interface 950 using point-to-point interface circuits 978 and 988, respectively. Processing elements 970 and 980 may each exchange data with a control logic 990 via individual point-to-point interfaces 952 and 954 using point-to-point interface circuits 976, 986, 994, and 998. As shown herein, control logic 990 is separated from processing elements 970 and 980. In an embodiment, however, control logic 990 is integrated on the same chip as processing elements 970 and 980. Also, control logic 990 may be partitioned differently with fewer or more integrated circuits. Additionally, control logic 990 may also exchange data with a high-performance graphics circuit 938 via a high-performance graphics interface 939, using an interface circuit 992, which could be a PtP interface circuit. In an embodiment, control logic 990 may connect to a display 993 through an interface circuit. Display 993 may include, but is not limited to, a liquid crystal display (LCD), a plasma, cathode ray tube (CRT) display, a touch screen, or any other form of visual display device. In alternative embodiments, any or all of the PtP links illustrated in FIG. 9 could be implemented as a multi-drop bus rather than a PtP link.

As shown in FIG. 9, each of processing elements 970 and 980 may be multicore processors, including first and second processor cores (i.e., processor cores 974 a and 974 b and processor cores 984 a and 984 b). Such cores may be configured to execute instruction code in a manner similar to that discussed above with reference to FIGS. 1-6. Each processing element 970, 980 may include at least one shared cache 971, 981. Shared caches 971, 981 may store data (e.g., instructions, code) that are utilized by one or more components of processing elements 970, 980, such as cores 974 a, 974 b, 984 a, and 984 b.

Control logic 990 may be in communication with a bus 920 via an interface circuit 996. Bus 920 may have one or more devices that communicate over it, such as a bus bridge 918 and I/O devices 916. Via a bus 910, bus bridge 918 may be in communication with other devices such as a keyboard/mouse 912 (or other input devices such as a touch screen, trackball, joystick, etc.), communication devices 926 (such as modems, network interface devices, or other types of communication devices that may communicate through a computer network 960), audio I/O devices 914, and/or a data storage device 928. Data storage device 928 may store code 930, which may be executed by processing elements 970 and/or 980. In alternative embodiments, any portions of the bus architectures could be implemented with one or more PtP links.

Processing elements 970, 980 and memory elements 932, 934 represent a broad range of processing elements, memory elements and other memory arrangements. Such arrangements can include single or multi-core processors of various execution speeds and power consumptions, and memory of various architectures (e.g., with one or more levels of caches) and of various types (e.g., dynamic random access, FLASH, etc.).

The computer system depicted in FIG. 9 is a schematic illustration of an embodiment of a computing system such as end host 130 and network security device 150 that may be utilized to implement various embodiments discussed herein. It will be appreciated that various components of the system depicted in FIG. 9 may be combined in a system-on-a-chip (SoC) architecture or in any other suitable configuration capable of achieving malicious application blocking on end hosts, according to the various embodiments provided herein. For example, embodiments disclosed herein can be incorporated into systems such as, for example, mobile devices such as smart cellular telephones, tablet computers, personal digital assistants, portable gaming devices, etc. It will be appreciated that these mobile devices may be provided with SoC architectures in at least some embodiments. Additionally, any of these components may be partitioned differently than shown or described herein to include greater or fewer integrated circuits still capable of achieving malicious application blocking on an end host according to the present disclosure.

Note that in certain example implementations, the malicious application blocking activities outlined herein may be implemented by logic encoded in one or more tangible machine readable storage media, which may include non-transitory media. For example, the activities outlined herein may be implemented by embedded logic provided in an application specific integrated circuit (ASIC), digital signal processor (DSP) instructions, software (potentially inclusive of object code and source code), firmware, and/or hardware to be executed by a processor 136, 156, or other similar machine, etc. In some of these instances, a memory element 138, 158 can store data used for the operations described herein. This includes memory element 138, 158 being able to store software, logic, code, or processor instructions that are executed to carry out the activities described in this Specification.

A processor can execute any type of instructions associated with the data to achieve the operations detailed herein. In one example, the processors could transform an element or an article (e.g., data) from one state or thing to another state or thing. In another example, the activities outlined herein may be implemented with fixed logic or programmable logic (e.g., software/computer instructions executed by a processor) and the elements identified herein could be some type of a programmable processor, programmable digital logic (e.g., a field programmable gate array (FPGA), an EPROM, an EEPROM) or an ASIC that includes digital logic, software, code, electronic instructions, or any suitable combination thereof. Any of the potential processing elements, modules, and machines described herein should be construed as being encompassed within the broad term ‘processor.’

The computing elements of computing system 100 (e.g., end host 130, network security device 150, VDI server 200), can include volatile and/or nonvolatile memory elements (e.g., memory elements 138, 158) for storing data and information, including instructions and/or code, to be used in the operations outlined herein. Each of end host 130, network security device 150, and VDI server 200 may keep data and information in any suitable memory element (e.g., random access memory (RAM), read-only memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), electrically EPROM (EEPROM), a disk drive, a floppy disk, a compact disk ROM (CD-ROM), a digital versatile disk (DVD), flash memory, a magneto-optical disk, an application specific integrated circuit (ASIC), or other types of nonvolatile machine readable storage media that are capable of storing data and information), software, hardware, firmware, or in any other suitable component, device, element, or object where appropriate and based on particular needs. Any of the memory items discussed herein (e.g., memory elements 138, 158) should be construed as being encompassed within the broad term ‘memory element.’ Moreover, the information being used, tracked, sent, or received in computing system 100 could be provided in any repository, database, register, queue, table, cache, control list, or other storage structure, all of which can be referenced at any suitable timeframe. Any such storage options may also be included within the broad term ‘memory element’ as used herein.

Note that with the examples provided herein, interaction may be described in terms of two, three, or more computing devices. However, this has been done for purposes of clarity and example only. In certain cases, it may be easier to describe one or more of the functionalities of a given set of flows by only referencing a limited number of computing devices. It should be appreciated that computing system 100 and its teachings are readily scalable and can accommodate a large number of components, as well as more complicated/sophisticated arrangements and configurations. Accordingly, the examples provided should not limit the scope or inhibit the broad teachings of computing system 100 as potentially applied to a myriad of other architectures.

It is also important to note that the operations in the preceding flowcharts and interaction diagrams (i.e., FIGS. 3-7) illustrate only some of the possible malicious application blocking activities that may be executed by, or within, computing system 100. Some of these operations may be deleted or removed where appropriate, or these operations may be modified or changed considerably without departing from the scope of the present disclosure. In addition, a number of these operations have been described as being executed concurrently with, or in parallel to, one or more additional operations. However, the timing of these operations may be altered considerably. The preceding operational flows have been offered for purposes of example and discussion. Substantial flexibility is provided by embodiments of computing system 100 in that any suitable arrangements, chronologies, configurations, and timing mechanisms may be provided without departing from the teachings of the present disclosure.

As used herein, unless expressly stated to the contrary, use of the phrase ‘at least one of’ refers to any combination of the named elements, conditions, or activities. For example, ‘at least one of X, Y, and Z’ is intended to mean any of the following: 1) X, but not Y and not Z; 2) Y, but not X and not Z; 3) Z, but not X and not Y; 4) X and Y, but not Z; 5) X and Z, but not Y; 6) Y and Z, but not X; or 7) X, Y, and Z.

Although the present disclosure has been described in detail with reference to particular arrangements and configurations, these example configurations and arrangements may be changed significantly without departing from the scope of the present disclosure. Additionally, although computing system 100 has been illustrated with reference to particular elements and operations that facilitate the malicious application blocking activities, these elements and operations may be replaced by any suitable architecture, protocols, and/or processes that achieve the intended functionality of computing system 100.

OTHER NOTES AND EXAMPLES

The following examples pertain to embodiments in accordance with this Specification. Note that all optional features of the apparatuses and systems described above may also be implemented with respect to the method or process described herein and specifics in the examples may be used anywhere in one or more embodiments.

Example N1 is at least one machine readable storage medium encoded with instructions for blocking malware, wherein the instructions, when executed by at least one processor, cause the processor to: receive metadata of a process intercepted on an end host when attempting to access a network, wherein the metadata includes a hash of an application associated with the process and an endpoint reputation score of the application; request a threat intelligence reputation score based on the hash of the application; determine an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score; and send a response indicating the action to be taken by the end host.

In Example N2, the subject matter of Example N1 can optionally include the action including blocking the application when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example N3, the subject matter of Example N2 the instructions, when executed by the at least one processor, further causing the processor to: correlate a tuple of connection information with network traffic associated with a network session established by the process, wherein the metadata includes the tuple of connection information; and if the network security device is in-line with the end host, block, on the network security device, the network traffic correlated to the tuple of connection information.

In Example N4, the subject matter of any one of Examples N2-N3 can optionally include the instructions when executed by the processor further causing the processor to, if the network security device is out-of-band, notify the end host to block on-going network traffic of a network session established by the process.

In Example N5, the subject matter of Example N4 can optionally include the end host being notified to block the on-going network traffic by the response indicating the action to be taken.

In Example N6, the subject matter of Example N1 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example N7, the subject matter of Example N6 can optionally include the instructions when executed by the processor further causing the processor to: receive a second endpoint reputation score from the end host; determine a second action to be taken by the end host based, at least in part, on one or more other policies and the second endpoint reputation score; and send a second response indicating the second action to be taken by the end host.

In Example N8, the subject matter of Example N7 can optionally include the second endpoint reputation score being determined based on a heuristic analysis of one or more dynamic link library modules invoked by the process.

In Example N9, the subject matter of Example N8 can optionally include the second action including one of blocking the application and blocking at least one of the one or more dynamic link library modules when the second endpoint reputation score represents at least a certain degree of maliciousness.

In Example N10, the subject matter of Example N6 can optionally include the instructions when executed by the processor further causing the processor to: receive network traffic associated with the network session; detect malware in the network traffic; correlate a tuple of connection information with the network traffic containing the malware, wherein the metadata includes the tuple of connection information; determine a second action to be taken by the end host based, at least in part, on one or more other policies; and send a second response indicating the second action to be taken by the end host.

In Example N11, the subject matter of Example N10 can optionally include the second action including blocking the application.

In Example N12, the subject matter of any one of Examples N1-N11 can optionally include the metadata further including a tuple of connection information, the tuple of connection information including a source network address of the end host, a source port of the end host, a destination network address of a destination node of the network session, a destination port of the destination node, and a protocol of the network session.

In Example N13, the subject matter of any one of Examples N1-N12 can optionally include the metadata further including one or more of a file name of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example N14, the subject matter of Example N13 can optionally include at least some of the metadata being provided for display on a user interface.

In Example N15, the subject matter of any one of Examples N1-N14 can optionally include the instructions, when executed by the at least one processor, further causing the processor to: request another threat intelligence reputation score based on another hash of a dynamic link library module loaded by the process on the end host, where the action is determined based, at least in part, on the other threat intelligence reputation score.

In Example N16, the subject matter of Example N15 can optionally include the action including blocking the dynamic link library module.

In Example N17, the subject matter of any one of Examples N1-N16 can optionally include, when the threat intelligence reputation score is unavailable, the action to be taken by the end host being determined based on the one or more policies and the endpoint reputation score.

In Example N18, the subject matter of any one of Examples N1-N17 can optionally include the instructions, when executed by the at least one processor, further causing the processor to: compare a threshold limit of the one or more policies to the threat intelligence reputation score to determine the action to be taken.

In Example N19, the subject matter of any one of Examples N1-N18 can optionally include the end host being a virtual desktop of a plurality of virtual desktops managed by a management server, wherein the response is sent to the management server.

Example N20 is an apparatus for blocking malware, the apparatus comprising: at least one memory element; at least one processor coupled to the at least one memory element; an endpoint intelligence server running on the at least one processor, where the endpoint intelligence server is configured to: receive metadata of a process intercepted on an end host when attempting to access a network, wherein the metadata includes a hash of an application associated with the process and an endpoint reputation score of the application; request a threat intelligence reputation score based on the hash of the application; determine an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score; and send a response indicating the action to be taken by the end host.

In Example N21, the subject matter of Example N20 can optionally include the action including blocking the application when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example N22, the subject matter of Example N21 can optionally include the endpoint intelligence server is further configured to: correlate a tuple of connection information with network traffic associated with a network session established by the process, where the metadata includes the tuple of connection information; and if the network security device is in-line with the end host, block, on the network security device, the network traffic correlated to the tuple of connection information.

In Example N23, the subject matter of any one of Examples N21-N22 can optionally include the endpoint intelligence server is further configured to: if the network security device is out-of-band, notify the end host to block on-going network traffic of a network session established by the process.

In Example N24, the subject matter of Example N23 can optionally include the end host being notified to block the on-going network traffic by the response indicating the action to be taken.

In Example N25, the subject matter of Example N20 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example N26, the subject matter of Example N25 can optionally include the endpoint intelligence server is further configured to: receive a second endpoint reputation score from the end host; determine a second action to be taken by the end host based, at least in part, on one or more other policies and the second endpoint reputation score; and send a second response indicating the second action to be taken by the end host.

In Example N27, the subject matter of Example N26 can optionally include the second endpoint reputation score being determined based on a heuristic analysis of one or more dynamic link library modules invoked by the process.

In Example N28, the subject matter of Example N27 can optionally include the second action including one of blocking the application and blocking at least one of the one or more dynamic link library modules when the second endpoint reputation score represents at least a certain degree of maliciousness.

In Example N29, the subject matter of Example N25 can optionally include the endpoint intelligence server is further configured to: receive network traffic associated with the network session; detect malware in the network traffic; correlate a tuple of connection information with the network traffic containing the malware, wherein the metadata includes the tuple of connection information; determine a second action to be taken by the end host based, at least in part, on one or more other policies; and send a second response indicating the second action to be taken by the end host.

In Example N30, the subject matter of Example N29 can optionally include the second action including blocking the application.

In Example N31, the subject matter of any one of Examples N20-N30 can optionally include the metadata further including a tuple of connection information, the tuple of connection information including a source network address of the end host, a source port of the end host, a destination network address of a destination node of the network session, a destination port of the destination node, and a protocol of the network session.

In Example N32, the subject matter of any one of Examples N20-N31 can optionally include the metadata further including one or more of a file name of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example N33, the subject matter of Example N32 can optionally include at least some of the metadata being provided for display on a user interface.

In Example N34, the subject matter of any one of Examples N20-N33 can optionally include the endpoint intelligence agent being further configured to: request another threat intelligence reputation score based on another hash of a dynamic link library module loaded by the process on the end host, where the action is determined based, at least in part, on the other threat intelligence reputation score.

In Example N35, the subject matter of Example N34 can optionally include the action including blocking the dynamic link library module.

In Example N36, the subject matter of any one of Examples N20-N35 can optionally include, when the threat intelligence reputation score is unavailable, the action to be taken by the end host being determined based on the one or more policies and the endpoint reputation score.

In Example N37, the subject matter of any one of Examples N20-N36 can optionally include the endpoint intelligence agent being further configured to: compare a threshold limit of the one or more policies to the threat intelligence reputation score to determine the action to be taken.

In Example N38, the subject matter of any one of Examples N20-N37 can optionally include the end host being a virtual desktop of a plurality of virtual desktops managed by a management server, wherein the response is sent to the management server.

Example N39 is a method for blocking malware, the method comprising: receiving metadata of a process intercepted on an end host when attempting to access a network, wherein the metadata includes a hash of an application associated with the process and an endpoint reputation score of the application; requesting a threat intelligence reputation score based on the hash of the application; determining an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score; and sending a response indicating the action to be taken by the end host.

In Example N40, the subject matter of Example N39 can optionally include the action including blocking the application when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example N41, the subject matter of Example N40 can optionally include correlating a tuple of connection information with network traffic associated with a network session established by the process, wherein the metadata includes the tuple of connection information; and if the network security device is in-line with the end host, blocking, on the network security device, the network traffic correlated to the tuple of connection information.

In Example N42, the subject matter of any one of Examples N40-N41 can optionally include if the network security device is out-of-band, notifying the end host to block on-going network traffic of a network session established by the process.

In Example N43, the subject matter of Example N42 can optionally include the end host being notified to block the on-going network traffic by the response indicating the action to be taken.

In Example N44, the subject matter of Example N39 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example N45, the subject matter of Example N44 can optionally include receiving a second endpoint reputation score from the end host; determining a second action to be taken by the end host based, at least in part, on one or more other policies and the second endpoint reputation score; and sending a second response indicating the second action to be taken by the end host.

In Example N46, the subject matter of Example N45 can optionally include the second endpoint reputation score being determined based on a heuristic analysis of one or more dynamic link library modules invoked by the process.

In Example N47, the subject matter of Example N46 can optionally include the second action including one of blocking the application and blocking at least one of the one or more dynamic link library modules when the second endpoint reputation score represents at least a certain degree of maliciousness.

In Example N48, the subject matter of Example N44 can optionally include receiving network traffic associated with the network session; detecting malware in the network traffic; correlating a tuple of connection information with the network traffic containing the malware, where the metadata includes the tuple of connection information; determining a second action to be taken by the end host based, at least in part, on one or more other policies; and sending a second response indicating the second action to be taken by the end host.

In Example N49, the subject matter of Example N48 can optionally include the second action including blocking the application.

In Example N50, the subject matter of any one of Examples N39-N49 can optionally include the metadata further including a tuple of connection information, the tuple of connection information including a source network address of the end host, a source port of the end host, a destination network address of a destination node of the network session, a destination port of the destination node, and a protocol of the network session.

In Example N51, the subject matter of any one of Examples N39-N50 can optionally include the metadata further including one or more of a file name of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example N52, the subject matter of Example NM can optionally include at least some of the metadata being provided for display on a user interface.

In Example N53, the subject matter of any one of Examples N39-N52 can optionally include requesting another threat intelligence reputation score based on another hash of a dynamic link library module loaded by the process on the end host, where the action is determined based, at least in part, on the other threat intelligence reputation score.

In Example N54, the subject matter of Example N53 can optionally include the action including blocking the dynamic link library module.

In Example N55, the subject matter of any one of Examples N39-N54 can optionally include, when the threat intelligence reputation score is unavailable, the action to be taken by the end host being determined based on the one or more policies and the endpoint reputation score.

In Example N56, the subject matter of any one of Examples N39-N55 can optionally include comparing a threshold limit of the one or more policies to the threat intelligence reputation score to determine the action to be taken.

In Example N57, the subject matter of any one of Examples N39-N56 can optionally include the end host being a virtual desktop of a plurality of virtual desktops managed by a management server, where the response is sent to the management server.

Example N58 is an apparatus for blocking malware, and the apparatus comprises means for performing the method of any of Examples N39-N57.

In Example N59, the subject matter of Example N58 can optionally include the means for performing the method comprising at least one processor and at least one memory element.

In Example N60, the subject matter of Example N59 can optionally include the at least one memory element comprising machine readable instructions that when executed, cause the apparatus to perform the method of any of Examples N39-N57.

In Example N61, the subject matter of any one of Examples N58-N60 can optionally include the apparatus is a computing system

Example N62 includes at least one machine readable storage medium comprising instructions for blocking malware, where the instructions when executed implement a method or realize an apparatus as defined in any of Examples N20-N57.

Example N63 is an apparatus for blocking malware, the apparatus comprising: means for receiving metadata of a process intercepted on an end host when attempting to access a network, wherein the metadata includes a hash of an application associated with the process and an endpoint reputation score of the application; means for requesting a threat intelligence reputation score based on the hash of the application; means for determining an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score; and means for sending a response indicating the action to be taken by the end host.

Example E1 is at least one machine readable storage medium encoded with instructions for blocking malware, wherein the instructions, when executed by at least one processor, cause the processor to: intercept, on an end host, an attempt to access a network by a process; determine an endpoint reputation score of an application associated with the process; send metadata associated with the process to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receive a response indicating an action to be taken, wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score.

In Example E2, the subject matter of Example E1 can optionally include the action including blocking the application on the end host when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example E3, the subject matter of Example E2 can optionally include the instructions when executed by the processor further causing the processor to: create a rule on the end host to implement the action.

In Example E4, the subject matter of Example E3 can optionally include the rule being implemented to prevent the application from being executed on the end host.

In Example E5, the subject matter of any one of Examples E2-E4 can optionally include the instructions, when executed by the at least one processor, further causing the processor to: block, on the end host when the network security device is out-of-band, on-going network traffic associated with a network session established by the process, wherein the on-going network traffic is blocked based on the tuple of connection information.

In Example E6, the subject matter of Example E1 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example E7, the subject matter of Example E6 can optionally include the instructions when executed by the processor further causing the processor to: determine a second endpoint reputation score of the application based on heuristic analysis of a dynamic link library module invoked by the process; and send the second endpoint reputation score to the network security device.

In Example E8, the subject matter of Example E7 can optionally include the instructions when executed by the processor further causing the processor to: receive a second response indicating a second action to block, on the end host, one of the application and the dynamic link library module when the second endpoint reputation score represents at least a certain degree of maliciousness; and create a rule on the end host according to the second action.

In Example E9, the subject matter of Example E7 can optionally include the instructions when executed by the processor further causing the processor to: determine a second action to be taken by the end host based, at least in part, on one or more local host policies and the second endpoint reputation score; create a rule on the end host according to the second action; and send, to network security device, the second endpoint reputation score and second action information indicating the second action to be taken by the end host.

In Example E10, the subject matter of Example E6 can optionally include the instructions when executed by the processor further causing the processor to: receive a second response from the network security device indicating a second action to take on the end host, wherein, when the network security device detects malware in network traffic associated with a network session established by the process, the second action includes blocking the application; and create a rule on the end host according to the second action.

In Example E11, the subject matter of any one of Examples E1-E10 can optionally include the tuple of connection information including a source network address of the end host, a source port of the end host, a destination network address of a remote node of a network session established by the process, and a destination port of the remote node, and a protocol of the network session.

In Example E12, the subject matter of any one of Examples E1-E1l can optionally include the metadata further including one or more of a filename of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example E13, the subject matter of Example E12 can optionally include at least some of the metadata being displayed on a user interface.

In Example E14, the subject matter of any one of Examples E1-E13 can optionally include the metadata further including the threat intelligence reputation score if the threat intelligence reputation score was previously received in response to a prior attempt to access the network by another process associated with the application.

In Example E15, the subject matter of any one of Examples E1-E14 can optionally include the end host being one of a plurality of virtual personalized desktops running on a virtual device infrastructure server.

Example E16 is an apparatus for blocking malware, the apparatus comprising: at least one memory element; at least one processor coupled to the at least one memory element; an endpoint intelligence agent running on the at least one processor, wherein the endpoint intelligence agent is configured to: intercept an attempt to access a network by a process; determine an endpoint reputation score of an application associated with the process; send metadata associated with the process to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receive a response indicating an action to be taken, wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score.

In Example E17, the subject matter of Example E16 can optionally include the action includes blocking the application on the apparatus when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example E18, the subject matter of Example E17 can optionally include the endpoint intelligence server is further configured to: create a rule to implement the action.

In Example E19, the subject matter of Example E18 can optionally include the rule being implemented to prevent the application from being executed on the end host.

In Example E20, the subject matter of any one of Examples E17-E19 can optionally include the endpoint intelligence server is further configured to: block, on the apparatus when the network security device is out-of-band, on-going network traffic associated with a network session established by the process, wherein the on-going network traffic is blocked based on the tuple of connection information.

In Example E21, the subject matter of Example E16 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example E22, the subject matter of Example E21 can optionally include the endpoint intelligence server is further configured to: determine a second endpoint reputation score of the application based on heuristic analysis of a dynamic link library module invoked by the process; and send the second endpoint reputation score to the network security device.

In Example E23, the subject matter of Example E22 can optionally include the endpoint intelligence server is further configured to: receive a second response indicating a second action to block, on the apparatus, one of the application and the dynamic link library module when the second endpoint reputation score represents at least a certain degree of maliciousness; and create a rule on the end host according to the second action.

In Example E24, the subject matter of Example E22 can optionally include the endpoint intelligence server is further configured to: determine a second action to be taken on the apparatus based, at least in part, on one or more local host policies and the second endpoint reputation score; create a rule according to the second action; and send, to network security device, the second endpoint reputation score and second action information indicating the second action to be taken.

In Example E25, the subject matter of Example E21 can optionally include the endpoint intelligence server is further configured to: receive a second response from the network security device indicating a second action to take on the apparatus, wherein, when the network security device detects malware in network traffic associated with a network session established by the process, the second action includes blocking the application; and create a rule according to the second action.

In Example E26, the subject matter of any one of Examples E16-E25 can optionally include the tuple of connection information including a source network address of the apparatus, a source port of the apparatus, a destination network address of a remote node of a network session established by the process, and a destination port of the remote node, and a protocol of the network session.

In Example E27, the subject matter of any one of Examples E16-E26 can optionally include the metadata further including one or more of a filename of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example E28, the subject matter of Example E27 can optionally include at least some of the metadata being displayed on a user interface.

In Example E29, the subject matter of any one of Examples E16-E28 can optionally include the metadata further including the threat intelligence reputation score if the threat intelligence reputation score was previously received in response to a prior attempt to access the network by another process associated with the application.

In Example E30, the subject matter of any one of Examples E16-E29 can optionally include the apparatus being a virtual device infrastructure server comprising one of a plurality of virtual personalized desktops.

Example E31 is a method for blocking malware, the method comprising: intercepting, on an end host, an attempt to access a network by a process on the end host; determining an endpoint reputation score of an application associated with the process; sending metadata associated with the network access attempt to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receiving action information indicating an action to be taken, wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score.

In Example E32, the subject matter of Example E31 can optionally include the action including blocking the application on the end host when the threat intelligence reputation score represents at least a certain degree of maliciousness.

In Example E33, the subject matter of Example E32 can optionally include creating a rule on the end host to implement the action.

In Example E34, the subject matter of Example E33 can optionally include the rule being implemented to prevent the application from being executed on the end host.

In Example E35, the subject matter of any one of Examples E32-E34 can optionally include blocking, on the end host when the network security device is out-of-band, on-going network traffic associated with a network session established by the process, wherein the on-going network traffic is blocked based on the tuple of connection information.

In Example E36, the subject matter of Example E31 can optionally include the action including allowing a network session established by the process to continue when the threat intelligence reputation score does not represent at least a certain degree of maliciousness.

In Example E37, the subject matter of Example 36 can optionally include determining a second endpoint reputation score of the application based on heuristic analysis of a dynamic link library module invoked by the process; and sending the second endpoint reputation score to the network security device.

In Example E38, the subject matter of Example E37 can optionally include receiving a second response indicating a second action to block, on the end host, one of the application and the dynamic link library module when the second endpoint reputation score represents at least a certain degree of maliciousness; and creating a rule on the end host according to the second action.

In Example E39, the subject matter of Example E37 can optionally include determining a second action to be taken by the end host based, at least in part, on one or more local host policies and the second endpoint reputation score; creating a rule on the end host according to the second action; and sending, to network security device, the second endpoint reputation score and second action information indicating the second action to be taken by the end host.

In Example E40, the subject matter of Example E36 can optionally include receiving a second response from the network security device indicating a second action to take on the end host, wherein, when the network security device detects malware in network traffic associated with a network session established by the process, the second action includes blocking the application; and creating a rule on the end host according to the second action.

In Example E41, the subject matter of any one of Examples E31-E40 can optionally include the tuple of connection information including a source network address of the end host, a source port of the end host, a destination network address of a remote node of a network session established by the process, and a destination port of the remote node, and a protocol of the network session.

In Example E42, the subject matter of any one of Examples E31-E41 can optionally include the metadata further including one or more of a filename of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.

In Example E43, the subject matter of Example E42 can optionally include at least some of the metadata being displayed on a user interface.

In Example E44, the subject matter of any one of Examples E31-E43 can optionally include the metadata further including the threat intelligence reputation score if the threat intelligence reputation score was previously received in response to a prior attempt to access the network by another process associated with the application.

In Example E45, the subject matter of any one of Examples E31-E44 can optionally include the end host being one of a plurality of virtual personalized desktops running on a virtual device infrastructure server.

Example E46 is an apparatus for blocking malware, the apparatus comprising means for performing the method of any of Examples E31-E45.

In Example E47, the subject matter of Example E46 can optionally include the means for performing the method comprising at least one processor and at least one memory element.

In Example E48, the subject matter of Example E47 can optionally include the at least one memory element comprising machine readable instructions that when executed, cause the apparatus to perform the method of any of Examples E31-E45.

In Example E49, the subject matter of any of Examples E46-E48 can optionally include the apparatus being a computing system.

Example E50 is at least one machine readable storage medium comprising instructions for blocking malware, where the instructions when executed implement a method or realize an apparatus as defined in any of Examples E16-E45.

Example E51 is an apparatus for blocking malware, the apparatus comprising: means for intercepting, on an end host, an attempt to access a network by a process on the end host; means for determining an endpoint reputation score of an application associated with the process; means for sending metadata associated with the network access attempt to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and means for receiving action information indicating an action to be taken, wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score. 

What is claimed is:
 1. At least one non-transitory machine readable storage medium encoded with instructions for blocking malware, wherein the instructions, when executed by a processor cause the processor to: intercept, on an end host, an attempt to access a network by a process; determine, by the end host, an endpoint reputation score of an application associated with the process, wherein the endpoint reputation score indicates a degree of maliciousness of the application; send metadata associated with the process to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receive a response indicating an action to be taken, wherein the action includes allowing a network session established by the process, and wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score; allow, by the end host, the network session established by the process to continue; and monitor, by the end host, the network session to identify a module invoked by the application that indicates some degree of maliciousness based on activities performed by the module for the application.
 2. The at least one non-transitory machine readable storage medium of claim 1, wherein the action is based on determining the threat intelligence reputation score does not represent at least a certain degree of maliciousness.
 3. The at least one non-transitory machine readable storage medium of claim 1, wherein the instructions, when executed by the processor, further cause the processor to: determine, by the end host, a second endpoint reputation score of the application based, at least in part, on heuristic analysis of the module invoked by the application, and wherein the second endpoint reputation score represents at least a certain degree of maliciousness; and send the second endpoint reputation score to the network security device.
 4. The at least one non-transitory machine readable storage medium of claim 3, wherein the instructions, when executed by the processor, further cause the processor to: receive a second response indicating a second action to be taken, wherein the second action includes blocking at least one of the application and the module; and create a rule on the end host according to the second action.
 5. The at least one non-transitory machine readable storage medium of claim 1, wherein the end host is one of a plurality of virtual personalized desktops running on a virtual device infrastructure server.
 6. The at least one non-transitory machine readable storage medium of claim 1, wherein the tuple of connection information includes a source network address of the end host, a source port of the end host, a destination network address of a remote node of a network session established by the process, a destination port of the remote node, and a protocol of the network session.
 7. The at least one non-transitory machine readable storage medium of claim 1, wherein the metadata further includes at least one of a filename of the application, a file path of the application, application reputation information, dynamic link library reputation information, a system identifier, a user identifier, and a domain.
 8. The at least one non-transitory machine readable storage medium of claim 1, wherein the metadata further includes the threat intelligence reputation score if the threat intelligence reputation score was previously received based on a prior attempt to access the network by another process associated with the application.
 9. An apparatus, comprising: a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to: intercept, on an end host, an attempt to access a network by a process; determine, by the end host, an endpoint reputation score of an application associated with the process, wherein the endpoint reputation score indicates a degree of maliciousness of the application; send metadata associated with the process to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receive a response indicating an action to be taken, wherein the action includes allowing a network session established by the process, and wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score; allow, by the end host, the network session established by the process to continue; and monitor, by the end host, the network session to identify a module invoked by the application that indicates some degree of maliciousness based on activities performed by the module for the application.
 10. The apparatus of claim 9, wherein the action is based on determining the threat intelligence reputation score does not represent at least a certain degree of maliciousness.
 11. The apparatus of claim 9, further configured to: determine, by the end host, a second endpoint reputation score of the application based, at least in part, on heuristic analysis of the module invoked by the application, and wherein the second endpoint reputation score represents at least a certain degree of maliciousness; and send the second endpoint reputation score to the network security device.
 12. The apparatus of claim 11, further configured to: receive a second response indicating a second action to be taken, wherein the second action includes blocking at least one of the application and the module; and create a rule on the end host according to the second action.
 13. The apparatus of claim 9, wherein the end host is one of a plurality of virtual personalized desktops running on a virtual device infrastructure server.
 14. The apparatus of claim 9, wherein the tuple of connection information includes a source network address of the end host, a source port of the end host, a destination network address of a remote node of a network session established by the process, a destination port of the remote node, and a protocol of the network session.
 15. A method comprising: intercepting, on an end host, an attempt to access a network by a process; determining, by the end host, an endpoint reputation score of an application associated with the process, wherein the endpoint reputation score indicates a degree of maliciousness of the application; sending metadata associated with the process to a network security device, wherein the metadata includes a hash of the application, a tuple of connection information, and the endpoint reputation score; and receiving a response indicating an action to be taken, wherein the action includes allowing a network session established by the process, and wherein the action is determined based, at least in part, on one or more policies and at least one of a threat intelligence reputation score and the endpoint reputation score; allowing, by the end host, the network session established by the process to continue; and monitoring, by the end host, the network session to identify a module invoked by the application that indicates some degree of maliciousness based on activities performed by the module for the application.
 16. The method of claim 15, wherein the action is based on determining the threat intelligence reputation score does not represent at least a certain degree of maliciousness.
 17. The method of claim 15, further comprising: determining, by the end host, a second endpoint reputation score of the application based, at least in part, on heuristic analysis of the module invoked by the application, and wherein the second endpoint reputation score represents at least a certain degree of maliciousness; and sending the second endpoint reputation score to the network security device.
 18. The method of claim 15, further comprising: receiving a second response indicating a second action to be taken, wherein the second action includes blocking at least one of the application and the module; and creating a rule on the end host according to the second action.
 19. The method of claim 15, wherein the end host is one of a plurality of virtual personalized desktops running on a virtual device infrastructure server.
 20. The method of claim 15, wherein the metadata further includes the threat intelligence reputation score if the threat intelligence reputation score was previously received based on a prior attempt to access the network by another process associated with the application. 